Vectorize @Vectorizeio
Makers of Hindsight. Agent memory that lets your agents learn over time. https://t.co/9U8TmRzNHf vectorize.io/course Boulder, CO Joined December 2023-
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One Memory for Every AI Tool I Use. Like many, I use different AI tools throughout the day depending on what I'm doing and where I am. Claude primarily, across the desktop and mobile apps, the Claude Code CLI, and the VS Code extension. Plus ChatGPT's mobile app and Codex on desktop. A couple of weeks ago I added an OpenClaw agent to the mix, running on a Mac Mini and connected to Discord. People are split on it, but the hype around some of its capabilities clicked immediately: beyond the model itself, it has a much broader set of tools than conventional AI interfaces. But the most groundbreaking part was memory. Having OpenClaw remember things across conversations felt like a genuine shift, from isolated sessions to something persistent. So why not do this with Claude or ChatGPT? Or better yet, why couldn't they all share one unified memory? That's the shared memory pattern I've been running for the past few weeks. Know more: linkedin.com/pulse/one-memo…
@MatthewGunnin Describes how he built his productivity system. The major unlock? Memory. "The win isn’t that the AI sounds smarter. The win is that it stops making you re-explain your company every morning. Prompting gets you a good answer. Memory gets you leverage."
Figured I’d just write out a thread explaining my setup. Hopefully this is helpful to some of you as I’ve tried basically every AI setup at this point. Different models, different prompts, custom MCPs, skills, memory plugins, Slack bots, Discord bots, local files, cloud tools,
3 Nodes. Zero Code. Persistent Memory for n8n Workflows. n8n workflows are stateless — every execution starts from zero. Hindsight adds persistent n8n memory via three HTTP Request nodes. No custom nodes, no vector database, no code. Know more: linkedin.com/pulse/3-nodes-…
Your Agent Is Not Forgetful. It Was Never Given a Memory. People often describe AI agents as forgetful. That is not quite right. Most agents were never designed to remember in the first place. Each session starts over. Each new conversation arrives with no durable knowledge of what happened before, what the user prefers, what decisions have already been made, or what context should carry forward. That is fine for one-off prompts. It becomes a real problem as soon as you expect an agent to behave like a persistent collaborator. Know more: linkedin.com/pulse/your-age…
Pipecat Voice AI Persistent Memory: Add Memory to Your Voice Pipeline. If you build voice AI pipelines with Pipecat, you know it handles real-time speech processing, LLM integration, and streaming synthesis beautifully. But there's one critical thing it doesn't do: remember anything between calls. Every voice conversation starts fresh. Your voice agent has no idea what the user said in yesterday's call, what their preferences are, or what it already researched. Adding Pipecat persistent memory doesn't require building a custom RAG system or managing separate vector databases. With the hindsight-pipecat integration, you can wire long-term memory into any voice pipeline with a single FrameProcessor that recalls context before responding and retains conversation content after each turn. Know more: linkedin.com/pulse/pipecat-…
Cool new personal assistant built using Hindsight for memory. Looks good, @dbenyamin
🤫 I’ve been quiet lately as I’ve been working on something in stealth! The latest incarnation of what started as Project Aeon now has a proper name and website: joshu.me Like many folks here, I got super deep into building a personal AI agent, but noticed a ton
nice tips on Hermes, great to see hindsight used - we're fixing the small issues mentioned in this article!
Lesson after 60 days on using Hermes as a personal assistant: "The combination of having rich native memory + external memory provider [Hindsight] result in highly relevant outputs that keep me up-to-date on the market." x.com/0xJeff/status/…
Your Claude Code Subagents Don't Share What They Learn. Claude Code's subagent system is one of the best things to ship in the harness layer this year. You can delegate work to specialized agents — Plan to think through a strategy, Explore to crawl the codebase, general-purpose to handle a multi-step task, or any custom subagent you define under .claude/agents/. Each one runs in its own context, with its own system prompt and tools, and reports back when it's done. It's a clean delegation model. By default, it's also amnesiac in a specific way: every subagent invocation starts fresh, and even when you opt into the persistence features Claude Code does ship, knowledge stays siloed inside each subagent. Know more: linkedin.com/pulse/your-cla…
@sekizaltmis_ @PedjaDrazic @Teknium You have the same issue when using Hindsight?
Plugging into the worlds best agent memory has never been easier in @NousResearch's Hermes Agent: hermes memory setup
The Open-Source MCP Memory Server Your AI Agent Is Missing. AI agents forget everything between sessions. Hindsight gives them persistent, structured memory via MCP. One Docker, Inc command to run the full stack locally. Connect any MCP-compatible client. Three core operations: retain (store), recall (search), reflect (reason) — plus mental models that auto-update as memories grow. Know more: linkedin.com/pulse/open-sou…
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